We are seeking a talented Data Science Analyst to join our dynamic team. In this role, you will work closely with our senior data scientist to support the development and validation of machine learning solutions for fraud detection. Your quantitative expertise will be instrumental in demonstrating the value of Kevari's data solutions through rigorous analysis, testing, and research.
As a key contributor to our fast-growing team, you will conduct ad hoc analyses, integrate and evaluate third-party data sources, and perform statistical studies that directly influence product strategy and client outcomes.
Key Responsibilities
Analysis & Research
- Conduct ad hoc exploratory data analysis to identify fraud patterns and trends, with focus on new account fraud and account takeovers
- Integrate and evaluate third-party data sources to test and enhance the efficacy of existing fraud detection solutions
- Perform retrospective analyses and back-testing to demonstrate solution value to prospective clients
- Execute statistical studies to support product development and optimization decisions
Model Support & Validation
- Collaborate with senior data scientist to support predictive model development and implementation
- Conduct quality assurance testing of machine learning algorithms and key data attributes
- Validate model performance and stability across different data scenarios
- Stay current on emerging data science techniques, particularly in AI/ML for fraud detection
Communication & Reporting
- Define and deliver analytical reports that translate complex findings into actionable business insights
- Present results to both technical and non-technical stakeholders
- Support client demonstrations and proof-of-concept initiatives
- Document analytical methodologies and findings